Workforce & Training
S

Stepful

AI powered healthcare workforce training platform operating as school as a service for health systems: employer sponsored, debt free training pathways for medical assistants, pharmacy technicians, practical nurses, dental assistants, and surgical technicians, expanding into registered nursing, respiratory therapy, and imaging. AI runs through instruction (personalized learning), avatar based clinical simulations, remote skills assessment, and workforce planning. Reports more than 32,000 graduates and 35+ health system clients including Mount Sinai, Ochsner, and Providence. Raised a $55 million Series C led by Oak HC/FT in June 2026, bringing total funding to $105 million.

Last VerifiedJuly 12, 2026
Founded
Headquarters
New York, New York
Website
www.stepful.com
Categories
workforce-and-training
Assessment

Capability Axes

AI Capability
AI Centrality
B
Vendor Published

AI runs through instruction (personalized learning), avatar based clinical simulations, remote skills assessment, and workforce planning, and the lead investor describes the AI engine as the differentiator. Held back from A because the product is a training service in which AI is the scaling mechanism rather than the deliverable.

Autonomy and Oversight Model
Not rated
Model and Technology Transparency
Not rated
Clinical and Operational Evidence
B
Trade Press

Scale corroborated by trade press: more than 32,000 graduates and 35+ health system clients including Mount Sinai, Ochsner, and Providence. Cost and speed claims (roughly 10x cheaper and 4x faster than legacy training for the medical assistant program) are vendor stated; completion and placement rates are not published in detail.

AI Safety and PHI Stewardship
Not rated
Regulatory and Compliance
HIPAA and BAA Posture
Not rated
Security Certifications and Trust Center
Not rated
FDA and Regulatory Status
Not rated
AI Governance and Bias Disclosure
Not rated
Integration and Deployment
EHR and Interoperability Depth
Not rated
Deployment Model and Data Residency
Not rated
Commercial
Commercial Transparency
C
Vendor Published

The commercial structure is inferable: employer sponsored training contracts for health systems alongside direct to student course fees, with the vendor characterizing its flagship program as roughly 10x cheaper than legacy alternatives. Exact published prices were not retrieved this pass.

Setting and Specialty Coverage
B
Vendor Published

Covered roles clearly enumerated: medical assistant, pharmacy technician, medical administration, practical nursing, dental assistant, surgical technician, with announced expansion into registered nursing, respiratory therapy, and imaging. Clear scope, though actively evolving.

Public Record

Announced Deployments

Publicly announced health system deployments and partnerships. This is a record of announcements, not an assessment of deployment success or scale.

Mount Sinai Health System
Patient care associate training program for ancillary clinical support roles
Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

Entry Price Pricing Basis BAA Tier Implementation Source
Contact the vendor
Employer sponsored training contracts; direct to student course fees also offered Vendor Published

Two commercial surfaces: employer sponsored training contracts with health systems (the B2B surface this index covers) and direct to student course fees. The vendor characterizes its flagship medical assistant program as roughly 10x cheaper and 4x faster than legacy trade school training; exact published prices were not retrieved this pass.

AI Health Index

An independent reference for evaluating AI vendors in healthcare. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
July 19, 2026
The AI Health Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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